Hani Hagras
Cited by
Cited by
A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots
HA Hagras
IEEE Transactions on Fuzzy systems 12 (4), 524-539, 2004
Type-2 FLCs: A new generation of fuzzy controllers
H Hagras
IEEE Computational Intelligence Magazine 2 (1), 30-43, 2007
A historical account of types of fuzzy sets and their relationships
H Bustince, E Barrenechea, M Pagola, J Fernandez, Z Xu, B Bedregal, ...
IEEE Transactions on Fuzzy Systems 24 (1), 179-194, 2015
Toward general type-2 fuzzy logic systems based on zSlices
C Wagner, H Hagras
IEEE transactions on fuzzy systems 18 (4), 637-660, 2010
Creating an ambient-intelligence environment using embedded agents
H Hagras, V Callaghan, M Colley, G Clarke, A Pounds-Cornish, H Duman
IEEE Intelligent Systems 19 (6), 12-20, 2004
Toward human-understandable, explainable AI
H Hagras
Computer 51 (9), 28-36, 2018
A fuzzy embedded agent-based approach for realizing ambient intelligence in intelligent inhabited environments
F Doctor, H Hagras, V Callaghan
IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2004
A survey of artificial intelligence techniques employed for adaptive educational systems within e-learning platforms
K Colchester, H Hagras, D Alghazzawi, G Aldabbagh
Journal of Artificial Intelligence and Soft Computing Research 7 (1), 47-64, 2017
Introduction to type-2 fuzzy logic control: theory and applications
J Mendel, H Hagras, WW Tan, WW Melek, H Ying
John Wiley & Sons, 2014
Ambient intelligence: A new multidisciplinary paradigm
P Remagnino, GL Foresti
IEEE Transactions on systems, man, and cybernetics-Part A: Systems and …, 2004
A type-2 fuzzy ontology and its application to personal diabetic-diet recommendation
CS Lee, MH Wang, H Hagras
IEEE Transactions on Fuzzy Systems 18 (2), 374-395, 2010
What computing with words means to me [discussion forum]
JM Mendel, LA Zadeh, E Trillas, R Yager, J Lawry, H Hagras, ...
IEEE computational intelligence magazine 5 (1), 20-26, 2010
A compact evolutionary interval-valued fuzzy rule-based classification system for the modeling and prediction of real-world financial applications with imbalanced data
JA Sanz, D Bernardo, F Herrera, H Bustince, H Hagras
IEEE Transactions on Fuzzy Systems 23 (4), 973-990, 2014
Interval type-2 fuzzy sets are generalization of interval-valued fuzzy sets: Toward a wider view on their relationship
HB Sola, J Fernandez, H Hagras, F Herrera, M Pagola, E Barrenechea
IEEE Transactions on Fuzzy Systems 23 (5), 1876-1882, 2014
An incremental adaptive life long learning approach for type-2 fuzzy embedded agents in ambient intelligent environments
H Hagras, F Doctor, V Callaghan, A Lopez
IEEE Transactions on Fuzzy Systems 15 (1), 41-55, 2007
Interval type-2 fuzzy logic congestion control for video streaming across IP networks
EA Jammeh, M Fleury, C Wagner, H Hagras, M Ghanbari
IEEE Transactions on Fuzzy Systems 17 (5), 1123-1142, 2009
Towards the wide spread use of type-2 fuzzy logic systems in real world applications
H Hagras, C Wagner
IEEE computational intelligence magazine 7 (3), 14-24, 2012
Evolving spiking neural network controllers for autonomous robots
H Hagras, A Pounds-Cornish, M Colley, V Callaghan, G Clarke
IEEE International Conference on Robotics and Automation, 2004. Proceedings …, 2004
A hierarchical fuzzy–genetic multi-agent architecture for intelligent buildings online learning, adaptation and control
H Hagras, V Callaghan, M Colley, G Clarke
Information Sciences 150 (1-2), 33-57, 2003
A type-2 fuzzy embedded agent to realise ambient intelligence in ubiquitous computing environments
F Doctor, H Hagras, V Callaghan
Information Sciences 171 (4), 309-334, 2005
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